code: def __init__(self, img_folder, ann_file, transforms):
      super(RefExpGrounding, self).__init__(img_folder, ann_file)
      self._transforms = transforms
      self.question_prompt = (
          "What is the location of <obj> in the image?"
      )
  
imports: import argparse
  from typing import Any, Tuple
  import torch
  import os
  import json
  from tqdm import tqdm
  from ferret.mm_utils import tokenizer_image_token, get_model_name_from_path, KeywordsStoppingCriteria
  from ferret.model.builder import load_pretrained_model
  from ferret.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN
  from ferret.conversation import conv_templates, SeparatorStyle
  from ferret.utils import disable_torch_init
  from PIL import Image
  import re
  import math
  import torchvision
  import numpy
  from copy import deepcopy
  from PIL import Image, ImageDraw, ImageFont
label_desc: Use image node_id 1 to create a new RefExpGrounding object from inherited base classes: torchvision.datasets with example: obj = RefExpGrounding(img_folder, ann_file, transforms)